Stats 1 Vol 1: Descriptive Statistics
Chapters
All chapters for Stats 1 Vol 1
Statistics
Introduces the subject as the 'art of learning from data,' covering its collection, description, and analysis.
Data
Focuses on the nature of information itself and how it is categorised.
Describing Categorical Data
Visualising and identifying the 'centre' of qualitative data.
Describing Numerical Data
Tools for organising and measuring the typical values and spread of quantitative variables.
Association Between Two Variables
Explores how information about one variable can provide insight into another.
Basic Principle of Counting
Foundations of probability by teaching how to count possible outcomes.
Factorial
Defines the product of positive integers.
Permutation
Covers the various ways to calculate ordered arrangements of objects.
Combination
Focuses on the mathematical methods for selecting objects when the order of selection does not matter.
All Chapters in this Book
Mathematics 1
Foundation level mathematics covering Sets, Relations, Functions, and Calculus.
Mathematics 2
Advanced mathematics for Data Science covering Linear Algebra, Vector Spaces, and Matrices.
Maths 2 Book: Linear Algebra
A complete textbook course on Linear Algebra for Data Science, covering Vectors, Matrices, and Vector Spaces.
Statistics 2
Advanced statistical methods including Hypothesis Testing, Regression, and ANOVA.
Stats 2 Book: Probability & Statistics
A comprehensive textbook covering probability, distributions, inference, and regression.
Stats 1 Vol 1: Descriptive Statistics
A comprehensive guide to the foundational concepts of statistics, data organisation, and probability-based counting.